Scheduling and Tuning for Low Energy in Heterogeneous and Configurable Multicore Systems

Abstract

Heterogeneous and configurable multicore systems provide hardware specialization to meet disparate application hardware requirements. However, effective multicore system specialization can require a priori knowledge of the applications, application profiling information, and/or dynamic hardware tuning to schedule and execute applications on the most energy efficient cores. Furthermore, even though highly disparate core heterogeneity and/or highly configurable parameters with numerous potential parameter values result in more fine-grained specialization and higher energy savings potential, these large design spaces are challenging to efficiently explore. To address these challenges, we propose a novel configuration-subsetted heterogeneous and configurable multicore system, wherein each core offers a small subset of the design space, and propose a novel scheduling and tuning (SaT) algorithm to efficiently exploit the energy savings potential of this system. Our proposed architecture and algorithm require no a priori application knowledge or profiling, and incur minimal runtime overhead. Results reveal energy savings potential and insights on energy trade-offs in heterogeneous, configurable systems.

Optimal Planning of Dynamic Thermal Management for NANS (N-App N-Screen) Services

“…For the three categories, we set the running time of applications to 1 min, 5 min, and 10 min, respectively. Alsafrjalani et al [51] modeled the arrival time for each application using the normal distribution. According to this model, we select the applications to be newly launched every minute.…”